TY - GEN
T1 - Automatic Contrast Enhancement Using Reversible Data Hiding with Distortion Minimization
AU - Kim, Suah
AU - Kim, Hyoung Joong
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea grant funded by the Korea government (MEST) (No.NRF-2019R1I1A1A01059582) and supported by Institute for Information & communications Technology Promotion grant funded by the Korea government (MSIP) (No.2018-0-00365, Development of on-off hybrid blockchain technology for real-time large-scale data distribution).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Automatic contrast enhancement using reversible data hiding (ACERDH) has been found to be useful in automatic image enhancement field. Instead of just providing data hiding ability, ACERDH also equalizes the pixel histogram as a part of data hiding process. This allows original image recovery directly from the enhanced image, without any additional data, which provides file saving feature by not having to save the original image. In this paper, we propose two improvements and two novel distortion minimization methods for ACERDH [1] method. The experimental results show that the proposed method has higher embedding capacity and lower distortion than ACERDH.
AB - Automatic contrast enhancement using reversible data hiding (ACERDH) has been found to be useful in automatic image enhancement field. Instead of just providing data hiding ability, ACERDH also equalizes the pixel histogram as a part of data hiding process. This allows original image recovery directly from the enhanced image, without any additional data, which provides file saving feature by not having to save the original image. In this paper, we propose two improvements and two novel distortion minimization methods for ACERDH [1] method. The experimental results show that the proposed method has higher embedding capacity and lower distortion than ACERDH.
KW - automatic contrast enhancement
KW - reversible data hiding
UR - http://www.scopus.com/inward/record.url?scp=85084289137&partnerID=8YFLogxK
U2 - 10.1109/ICIVC47709.2019.8980970
DO - 10.1109/ICIVC47709.2019.8980970
M3 - Conference contribution
AN - SCOPUS:85084289137
T3 - 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019
SP - 291
EP - 295
BT - 2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019
Y2 - 5 July 2019 through 7 July 2019
ER -